SleekView Charts for GEO my WP: visualize location data
SleekView Charts reads the global gmw_locations table created by GEO my WP, groups by country, state, object_type and form_id, and renders Number, Pie, Bar and Area charts inside WordPress so you finally see where your geolocated content actually lives.
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Locations stored. Locations never charted.
GEO my WP 3.0 introduced a single global table, gmw_locations, that holds the geocoded coordinates for every object on your site, regardless of post type or user. Columns include id, object_type (post, user, bp_member), object_id, country, region_name, city, postcode, latitude, longitude and updated. The companion gmw_forms table stores each configured search form.
SleekView reads gmw_locations the same way GEO my WP does. Group by country to see geographic distribution. Group by object_type to split posts from users from BuddyPress members. Group by updated for new-location velocity. Filter to a specific object_type and join to wp_posts or wp_users for resolved labels.
A directory site running GEO my WP across 28,400 listings had no idea that 71 percent of their geocoded objects clustered in just five countries, with the long tail spread across 47 more. After charting it once they reorganized featured-region pages around those clusters, and traffic to long-tail regions grew once they stopped pretending the distribution was even.
Workflow
From gmw_locations rows to charts
Point at gmw_locations
Pick the grouping
Choose an aggregation
Embed for ops and editorial
Sample dashboard
What a GEO my WP dashboard looks like
Total geocoded objects
Count
Locations by country
Count
group by country
Object type mix
Count
group by object_type
New locations per day
Count
group by updated
Comparison
Default GEO my WP output vs SleekView Charts
Default GEO my WP admin
- No aggregate view of which countries or regions are covered
- Object_type breakdown (post vs user vs bp_member) is invisible in the admin
- Geocoding velocity per day is not surfaced anywhere
- Form usage stats from gmw_forms have no visualization layer
- Coverage gaps require manual SQL on gmw_locations to find
SleekView Charts
-
Reads the global
gmw_locationstable on every chart query, no copy - Country, region and city distribution with resolved labels
- Object_type mix (post / user / bp_member) as a single donut
- New-location velocity by day, week or month grouped on updated
- Joins to gmw_forms to chart usage across configured search forms
Features
What SleekView Charts gives you for GEO my WP
Real coverage maps
Country and region distribution sourced directly from gmw_locations columns. See concentration vs long tail in one bar chart, then make editorial and marketing decisions that match where your audience actually is.
Object-type segmentation
Split posts, users and BuddyPress members on the same map data. The gmw_locations.object_type column makes this trivial, so a single dashboard can serve directory editors, community managers and post authors.
Geocoding throughput
Track how many new locations get added per day and per week from gmw_locations.updated. Useful for capacity planning during bulk imports and for proving that geocoding is keeping up with content velocity.
Audience
Where GEO my WP dashboards earn their keep
Multi-region directories
See which countries dominate your coverage, which are under-served, and which are growing fastest. Reorganize featured-region pages and regional landing content around the real distribution.
Community sites
Split user/bp_member geocoded counts from post counts to see whether your community is growing in the same regions as your content. Mismatches tell you where to invest in localization.
Local search heavy sites
Combine gmw_locations with gmw_forms to see which search forms are used most and which produce the most location-based queries. Drives form placement and design decisions.
The bigger picture
Why location data deserves its own dashboard
Most sites running GEO my WP look at locations one at a time on a map. That misses the bigger story. Where is your coverage concentrated? Which regions are growing? Which audience type (post, user, bp_member) is driving that growth? How fast are new locations being added? The gmw_locations table has every answer, and the gmw_forms table tells you which search interfaces are doing the work.
SleekView Charts reads those tables in place, the same way GEO my WP itself does, and turns them into the dashboards a multi-region site actually needs. That makes editorial decisions sharper, marketing investment more targeted, and product roadmap conversations less hand-wavy. Geography matters more than most operators realize until they see the distribution in one chart.
Questions
Common questions about SleekView Charts for GEO my WP
SleekView treats gmw_locations as a first-class custom table data source. Once pointed at it, the chart builder lists every column (object_type, country, region_name, city, latitude, longitude, updated) and lets you group, filter and aggregate without any code.
 Yes. The object_type column on gmw_locations stores the type of object the location is attached to (post, user, bp_member, custom). Group or filter by it to chart posts only, users only, or compare the three on the same chart.
 Yes. GEO my WP 3.0+ uses a single global table for the whole network. SleekView reads it directly. If you want per-site charts, filter by blog_id (added to the row when the location was created) or by object_id joined to per-site post tables.
 If only latitude/longitude is stored, the country/region columns will be empty, so charts on those columns will be sparse. Backfilling country via GEO my WP's reverse-geocode tool, or via a one-off SQL update, makes the geographic charts complete.
 gmw_locations is heavily indexed (country, object_type, latitude, longitude). Aggregations on those columns stay fast even at hundreds of thousands of rows. SleekView's per-chart cache layer keeps repeat views under a second.
 Yes. gmw_forms stores each configured search form. You can chart locations grouped by form_id (joined to gmw_forms.title) to see which forms produce the most location-based searches and engagement.
 Yes. The updated column on gmw_locations is a timestamp. Filter to rows updated in the last 30/60/90 days for a freshness view, or chart updates per day to see geocoding throughput over time.
 No, charts render aggregations like count and bucket counts, not individual lat/lng points. PII and exact coordinates stay in gmw_locations and are not exposed to public-facing charts by default.
 Pricing
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